JP7081844B2 - Detection system - Google Patents

Description

Application of Article 30, Paragraph 2 of the Patent Act Published by selling to Denso Sales Co., Ltd. (currently Denso Solution Co., Ltd.) on June 30, 2nd year of Reiwa.

The present disclosure relates to a detection system.

A system for detecting a dangerous state in which a driver is dozing is known based on a driver's face image taken in a vehicle (see Patent Document 1). The system detects a doze state based on the driver's eye movements.

Japanese Unexamined Patent Publication No. 2017-79055

In the above system, for example, when a passenger is present in the back seat, the passenger's face may be mistakenly recognized as the driver's face. When such misrecognition occurs, the driver's condition cannot be detected.

One aspect of this disclosure is to provide a detection system that can correctly recognize a driver.

One aspect of the present disclosure is an photographing unit configured to photograph the inside of a vehicle, a detecting unit configured to detect a person's face from a photographed image taken by the photographing unit, and an operation detected by the detecting unit. The ratio of the face size of the judgment target person detected by the detection unit to the storage unit configured to store the face of the hand as the reference face is equal to or greater than the threshold value, and the judgment target person It is a detection system including a driver determination unit configured to determine a person to be determined as a driver when the distance between the center coordinates of the face and the center coordinates of the reference face is within the width of the reference face. ..

According to such a configuration, the position of the face of the determination target person in the front-back direction (that is, the depth direction) and the left-right direction can be determined by the ratio of the size to the initially memorized reference face and the deviation of the center coordinates. That is, when the detected face position is within the assumed range, the determination target person can be determined to be the driver. Therefore, the driver can be monitored while the driver is correctly recognized.

One aspect of the present disclosure is an alarm determination unit configured to determine the need for an alarm to the driver based on a captured image, and the driver determination unit determines that the person to be determined is a driver and gives an alarm. Further, an alarm output unit configured to output an alarm signal when the determination unit determines that an alarm is necessary may be provided. According to such a configuration, it is possible to appropriately notify the driver of the alarm while the driver is correctly recognized.

In one aspect of the present disclosure, the alarm determination unit has a first process of determining a dangerous state requiring an alarm based on at least the state of the driver's eyes in the captured image, and the amount of deformation of the driver's mouth in the captured image. When it is determined that the alarm is not necessary in the non-dangerous state when it is equal to or more than the threshold value, and when it is determined that the alarm is not in the non-dangerous state, the second process of canceling the first process for a certain period of time may be executed. According to such a configuration, in addition to the first process of determining the dangerous state based on the state of the eyes, the second process of determining the non-dangerous state when the amount of deformation of the mouth is large is performed. The alarm can be canceled when the driver is smiling. Further, by canceling the first process for a certain period of time when it is determined to be a non-dangerous state, it is possible to suppress the issuance of an alarm for the smiling state. Therefore, the accuracy of the alarm for a dangerous state is improved.

In one aspect of the present disclosure, in the first process, the alarm determination unit keeps the state where the height of the driver's eyes in the captured image is equal to or less than the threshold value for a certain period of time, and the angle of the driver's face in the captured image is the threshold value. If the speed is as follows and the speed of the vehicle is equal to or higher than the threshold value, it may be determined that the vehicle is in a dangerous state. According to such a configuration, it is possible to accurately notify the alarm when the driver is dozing.

In one aspect of the present disclosure, in the first process, the alarm determination unit keeps the state where the height of the driver's eyes in the captured image is equal to or less than the threshold value for a certain period of time, and the size of the driver's mouth in the captured image is increased. In a dangerous state when the driver's face angle in the captured image is equal to or less than the threshold value, the speed of the vehicle is equal to or greater than the threshold value, and a certain period of time has elapsed from the activation of the alarm judgment unit. It may be determined that there is. With such a configuration, it is possible to accurately notify an alarm when the driver is tired.

In one aspect of the present disclosure, the alarm determination unit is in a state where the angle of the driver's face in the captured image is equal to or higher than the threshold value for a certain period of time, and the speed of the vehicle is equal to or higher than the threshold value and the lateral acceleration is equal to or lower than the threshold value. At the same time, if none of the vehicle brakes, winkers and reverse gears are functioning, it may be determined that a dangerous condition requires an alarm. According to such a configuration, it is possible to accurately notify the alarm to the state in which the driver is driving while looking aside.

In one aspect of the present disclosure, the alarm determination unit may determine a dangerous state requiring an alarm based on the positions of the driver's face and hands in the captured image. According to such a configuration, it is possible to accurately notify an alarm when the driver is performing a dangerous operation.

In one aspect of the present disclosure, the alarm determination unit may determine that the driver is in a dangerous state when it is determined in the captured image that the driver is using the mobile terminal. According to such a configuration, it is possible to notify an alarm to a state in which the driver is driving while using the mobile terminal.

In one aspect of the present disclosure, the alarm determination unit may determine that the driver is in a dangerous state when it is determined in the captured image that the driver is smoking. According to such a configuration, it is possible to notify an alarm to a state in which the driver is driving while smoking.

In one aspect of the present disclosure, the alarm output unit does not have to output a new alarm signal until a certain period of time has elapsed after outputting the alarm signal. According to such a configuration, it is possible to prevent the alarm from being repeatedly notified for the dangerous state for which the alarm has been notified once.

1A is a block diagram schematically showing the configuration of the detection system according to the embodiment, and FIG. 1B is an example of the appearance of the detection system of FIG. 1A. FIG. 2 is an example of an image used for determining a driver by the detection system of FIG. 1A. FIG. 3 is a schematic diagram for explaining the height of the eyes. 4A and 4B are schematic views for explaining the direction of the face. 5A and 5B are schematic views for explaining the size of the mouth. FIG. 6 is a flow chart schematically showing the processing executed by the detection system of FIG. 1A. FIG. 7 is a flow chart schematically showing the calibration process of FIG. FIG. 8 is a flow chart schematically showing the driver determination process of FIG. FIG. 9 is a flow chart schematically showing the alarm determination process of FIG. FIG. 10 is a flow chart schematically showing an example of an event in the state determination process of FIG. FIG. 11 is a flow chart schematically showing an example of an event in the state determination process of FIG. FIG. 12 is a flow chart schematically showing an example of an event in the state determination process of FIG. FIG. 13 is a flow chart schematically showing an example of an event in the state determination process of FIG. FIG. 14 is a flow chart schematically showing an example of an event in the state determination process of FIG.

Hereinafter, embodiments to which the present disclosure has been applied will be described with reference to the drawings.
[1. First Embodiment]
[1-1. Constitution]
The detection system 1 shown in FIGS. 1A and 1B is a kind of on-board unit arranged in a vehicle. The detection system 1 includes a photographing unit 2 and a processing unit 3.

<Shooting department>
The photographing unit 2 is configured to photograph the inside of the vehicle. The photographing unit 2 is composed of a known camera. The photographing unit 2 is arranged in the vehicle at a position and a posture in which an image including at least the driver's face while driving can be acquired.

The photographing unit 2 is attached to, for example, the windshield of the vehicle, the dashboard, or the like via the housing 4 that houses the photographing unit 2 and the processing unit 3. The photographing unit 2 outputs the captured image as data to the detection unit 31.

<Processing unit>
The processing unit 3 is configured to perform processing such as determining the state of the driver based on the captured image captured by the photographing unit 2.

The processing unit 3 is composed of, for example, a computer including a processor, a storage medium, and a communication interface. The processing unit 3 includes a detection unit 31, a storage unit 32, a driver determination unit 33, an alarm determination unit 34, and an alarm output unit 35.

(Detection unit)
The detection unit 31 is configured to detect the face of a person from the captured image captured by the photographing unit 2.

In addition to detecting the face of a person, the detection unit 31 also detects facial characteristics such as the position and size of parts such as eyes, nose, and mouth. Detection of a person's face and characteristics is performed using a known image analysis algorithm, AI (artificial intelligence), or the like.

(Memory)
The storage unit 32 is configured to store the driver's face detected by the detection unit 31 as a reference face.

The reference face is extracted from the captured image taken by the driver in the driving state (that is, in the state of sitting in the driver's seat and holding the steering wheel). In addition to the reference face, the storage unit 32 also stores captured images taken by the photographing unit 2 within a certain period of time, facial characteristic data detected by the detection unit 31 within a certain period of time, and the like.

(Driver judgment unit)
Based on the reference face, the driver determination unit 33 determines whether or not the face of the determination target person detected by the detection unit 31 from the captured image captured by the imaging unit 2 is the driver's face.

Specifically, the driver determination unit 33 has a ratio of the face size of the determination target person detected by the detection unit 31 to the reference face size of the first threshold value or more, and the face of the determination target person. When the distance between the center coordinates and the center coordinates of the reference face is within the width of the reference face, the person to be determined is determined to be the driver.

Here, the "face size" is the area of the smallest rectangle including the face in the captured image, or the area of the actual face in the captured image. Further, the "center coordinates of the face" are the coordinates of the center of gravity of the smallest rectangle including the face in the photographed image, or the coordinates of the center of gravity of the actual face in the photographed image. The first threshold value is, for example, 40%.

FIG. 2 is a comparative image of the reference face P0 and the face P1 of the determination target person. In FIG. 2, the area of the smallest rectangle R1 containing the face P1 of the determination target person (that is, the size of the face P1) is the area of the smallest rectangle R0 containing the reference face P0 (that is, the size of the reference face P0). Is less than the first threshold of. Therefore, the person to be determined in the captured image I is determined not to be the driver but to be a passenger in the back seat.

Further, in the example of FIG. 2, the center of gravity G1 of the smallest rectangle R1 containing the face P1 of the person to be determined (that is, the center coordinates of the face P1) and the center of gravity G0 of the smallest rectangle R0 containing the reference face P0 (that is, the reference). The horizontal distance D from the center coordinate of the face P0) is larger than the width W of the reference face P0. Therefore, from this point as well, the person to be determined in the captured image I is determined to be a passenger in the rear seat.

(Alarm judgment unit)
The alarm determination unit 34 is configured to determine the need for an alarm to the driver based on the captured image. If the driver determination unit 33 does not determine the person to be determined as a driver, the alarm determination unit 34 does not determine the following dangerous state.

The alarm determination unit 34 does not require an alarm based on the first process of determining a dangerous state requiring an alarm based on at least the state of the driver's eyes in the captured image and the amount of deformation of the driver's mouth in the captured image. The second process of determining the non-dangerous state and canceling the first process for a certain period of time when the non-dangerous state is determined is executed.

Further, before the first process and the second process, the alarm determination unit 34 performs a pre-process for confirming whether the driver's face can be detected by the detection unit 31 and a dangerous state that is not subject to the determination in the first process. The third process of determination is executed.

(Pre-processing)
In the pre-processing, the alarm determination unit 34 determines the dangerous state (that is, the first process, the second process, and the third process) when the face detection is successful for a certain period of time and the face detection accuracy is equal to or higher than a certain value. ) Is in a feasible state.

It is determined that the face detection is successful for a certain period of time, for example, when the face can be detected continuously for 5 seconds. In addition, the face detection accuracy is determined to be above a certain value when, for example, the "face score" (calculated by PUX's face recognition software) based on the positional relationship of face parts is 80% or more of the maximum score value. Is.

(First process)
The dangerous state determined by the alarm determination unit 34 in the first process includes a closed eye state and a tired state.

The closed eye state is a state in which the driver closes his eyes and includes a dozing state. In the first process, the alarm determination unit 34 determines that the eye is closed when the eye closing condition is satisfied. The condition for closing the eyes is that the height of the driver's eyes in the captured image remains below the second threshold value for a certain period of time (that is, above the third threshold value), and the angle of the driver's face in the captured image is below the fourth threshold value. Yes, and the speed of the vehicle is equal to or higher than the fifth threshold value.

As shown in FIG. 3, the "driver's eye height" is the average of the ratio of the maximum vertical width W of the eye E in the face under determination to the reference height for the left and right eyes. The reference height is the average value of the maximum vertical width H of the left and right eyes of the driver during driving. The second threshold is, for example, 75%, and the third threshold is, for example, 2 seconds.

Further, the alarm determination unit 34 continued in a state where the eye closing condition was satisfied and the state in which the driver's eye height was equal to or less than the second threshold value was an additional threshold value (for example, 5 seconds) larger than the third threshold value. In some cases, it may be determined that the person is in a “sleeping state”, which has a higher risk and requires a strong alarm.

The “driver's face angle” is an absolute value of the angle θ formed by the direction A0 of the reference face P0 shown in FIG. 4A and the direction A1 of the face P1 under determination shown in FIG. 4B. The "face direction" is calculated based on the position and size of facial parts such as eyes, nose, and mouth in the captured image. The fourth threshold is, for example, 10 °.

The "vehicle speed" is transmitted to the processing unit 3 as a signal from the vehicle information acquisition device 10 connected to the detection system 1. The vehicle information acquisition device 10 is a speed sensor mounted on an on-board unit such as a drive recorder or an ECU (electric control unit) of the vehicle. The detection system 1 may include a vehicle information acquisition device 10. The fifth threshold is, for example, 30 km / h.

As described above, the warning determination unit 34 is one of the dangerous states when the speed of the vehicle is high to some extent and the driver's eyes open continuously while the driver is facing the front. It is determined that the eye is closed.

The tired state is a state in which the driver feels tired and his concentration is reduced. In the first process, the alarm determination unit 34 determines that the user is in a tired state when the fatigue condition is satisfied. As for the fatigue condition, the state in which the height of the driver's eyes in the captured image is equal to or lower than the 6th threshold value continues for a certain period of time (that is, the 7th threshold value or higher), and the size of the driver's mouth in the captured image is equal to or higher than the 8th threshold value. The angle of the driver's face in the captured image is equal to or less than the ninth threshold value, the speed of the vehicle is equal to or greater than the tenth threshold value, and a certain period of time (that is, equal to or greater than the eleventh threshold value) from the activation of the alarm determination unit 34. It has passed.

The "driver's eye height" is the same parameter used in the closed eye condition. The sixth threshold is larger than the second threshold under the closed eye condition, for example, 85%. The seventh threshold is larger than the third threshold under the closed eye condition, for example, 4 seconds.

The "driver's mouth size" is the ratio of the area S1 surrounded by four points on the top, bottom, left, and right of the lips L on the face under determination shown in FIG. 5B to the reference area S0 shown in FIG. 5A. The reference area S0 is an area surrounded by four points on the top, bottom, left, and right of the lip L in the driver during driving. The eighth threshold is, for example, 190%.

The "driver's face angle" is the same parameter used in the closed eye condition. The ninth threshold value is the same as the fourth threshold value under the closed eye condition, and is, for example, 10 °.
"Vehicle speed" is the same parameter used in the closed eye condition. The tenth threshold value is the same as the fifth threshold value under the closed eye condition, and is, for example, 30 km / h.

The "time from the activation of the alarm determination unit 34" is automatically counted after the power of the detection system 1 is turned on. The eleventh threshold is, for example, 10 minutes.

As described above, in the alarm determination unit 34, when the speed of the vehicle is high to some extent, the driver's eyes are continuously reduced while the driver is facing the front, and the driver is yawning. In addition, it is determined to be a tired state, which is one of the dangerous states. It should be noted that the determination of the degree of opening of the driver's eyes is looser than the determination in the closed eye state.

(Second process)
The second process is executed in order to prevent the smiling state in which the driver is squinting (or closed) from being erroneously determined as the closed eye state or the tired state.

The alarm determination unit 34 determines that it is a non-dangerous state in which an alarm is unnecessary when the smile condition is satisfied. The smile condition is that the amount of deformation of the driver's mouth is equal to or greater than the twelfth threshold.

The "deformation amount of the driver's mouth" is the ratio of the width LW of the mouth of the face under determination (see FIG. 5A) to the reference width. The reference width is the average width of the mouth of the driver while driving. The twelfth threshold is, for example, 1.2. In addition, instead of the width of the mouth, the height of the corner of the mouth may be used for the determination.

Further, the alarm determination unit 34 cancels the first process for a certain period of time when it is determined that the state is non-dangerous. That is, the determination of the closed eye state and the tired state is not performed until a certain time has passed after the determination of the smiling state. The cancellation time is, for example, the time until the smile condition is not satisfied (that is, until the alarm determination unit 34 determines that the non-dangerous state is not satisfied).

(Third process)
The dangerous state determined by the alarm determination unit 34 in the third process includes an inattentive state, a mobile terminal usage state, and a smoking state. The determination of these dangerous states is not canceled by the second process.

The inattentive state is a state in which the driver is driving without looking at the front. When the inattentive condition is satisfied, the alarm determination unit 34 determines that the inattentive state is one of the dangerous states. The inattentive condition is that the driver's face angle in the captured image is equal to or higher than the 21st threshold value for a certain period of time (that is, the 22nd threshold value or higher), the vehicle speed is 23rd threshold value or higher, and the lateral acceleration is high. It is below the 24th threshold and none of the vehicle brakes, winkers and reverse gears are functioning.

The "driver's face angle" is the same parameter used in the closed eye condition. The 21st threshold is, for example, 20 °. The 22nd threshold is, for example, 2 seconds or 3 seconds.
"Vehicle speed" is the same parameter used in the closed eye condition. The 23rd threshold value is the same as the 5th threshold value under the closed eye condition, and is, for example, 30 km / h.

The "lateral acceleration of the vehicle" is transmitted as a signal from the vehicle information acquisition device 10 connected to the detection system 1 in the same manner as the speed of the vehicle. The 24th threshold is, for example, 0.07G.

Whether or not the vehicle brake, turn signal, and reverse gear are functioning is transmitted as a signal from the vehicle information acquisition device 10 connected to the detection system 1, respectively.

As described above, the warning determination unit 34 has a certain speed of the vehicle, does not correspond to any of the vehicle traveling on a curve, turning left or right, and backing, and the driver is not facing the front. In this case, it is determined to be an inattentive state, which is one of the dangerous states.

The mobile terminal usage state is a state in which the driver is operating a mobile terminal such as a mobile phone or making a call using the mobile terminal while driving. When the mobile terminal usage condition is satisfied, the alarm determination unit 34 determines that the mobile terminal usage state is one of the dangerous states.

The mobile terminal usage condition is that the state in which the driver is determined to be using the mobile terminal based on the driver's face and the position of the hand and the mobile terminal in the captured image continues for the 31st threshold or higher. Is. The 31st threshold is, for example, 5 seconds.

The smoking state is a state in which the driver is smoking using a smoking device such as a cigarette while driving. When the smoking condition is satisfied, the alarm determination unit 34 determines that the smoking state is one of the dangerous states.

The smoking condition is that the state in which the driver is determined to be smoking based on the driver's face and the position of the hand and the smoking device in the photographed image continues for the 32nd threshold value or more. The 32nd threshold is, for example, 3 seconds.

In the alarm determination unit 34, the current speed of the vehicle is equal to or higher than the 41st threshold value, the difference between the maximum value and the minimum value of the vehicle speed within a certain period of time is the 42nd threshold value or less, and the vehicle is in the front-rear direction within a certain period of time. The difference between the maximum value and the minimum value of the acceleration of the vehicle is the 43rd threshold or less, and the difference between the maximum value and the minimum value of the left-right acceleration of the vehicle within a certain time is the 44th threshold or less. When the difference between the maximum value and the minimum value of the vertical acceleration of the vehicle is equal to or less than the 45th threshold value and a certain period of time (that is, the 46th threshold value or more) has elapsed from the start of the vehicle engine, the dangerous state 1 As a result, the monotonous operation state may be determined.

The 41st threshold is, for example, 30 km / h. The 42nd threshold is, for example, 5 km / h. The 43rd threshold is, for example, 0.2 G. The 44th threshold is, for example, 0.2 G. The 45th threshold is, for example, 0.2 G. The 46th threshold is, for example, 30 minutes.

(Alarm output section)
The alarm output unit 35 is an alarm signal when the driver determination unit 33 determines that the person to be determined is a driver and the alarm determination unit 34 determines that an alarm is necessary (that is, when a dangerous state is determined). Is configured to output.

The alarm output unit 35 transmits an alarm signal to an external alarm device 20 (for example, an in-vehicle device such as a drive recorder). The alarm device 20 notifies the driver in the vehicle of an alarm by voice, lighting, display on a display, or the like. The detection system 1 may include an alarm device 20. Further, the alarm output unit 35 outputs an alarm signal or an alarm history to the external storage device 30.

The alarm output unit 35 does not output a new alarm signal until the cancellation condition is satisfied. The release condition is that a certain period of time elapses after the alarm signal is output. The following is an example of the cancellation conditions for each dangerous state.

When the alarm signal is output by the determination of the closed eye state, the alarm output unit 35 does not output the alarm signal again until the state in which the height of the driver's eyes exceeds the second threshold value continues for the 51st threshold value or more. The 51st threshold is, for example, 5 seconds.

When the alarm signal is output by the determination of the tired state, the alarm output unit 35 continues to have the driver's eye height exceeding the sixth threshold value for the 52nd threshold value or more, or the 53rd threshold value from the output of the alarm signal. Until the above elapses, the alarm signal is not output again. The 52nd threshold is, for example, 5 seconds. The 53rd threshold is, for example, 15 minutes.

When the alarm signal is output by the determination of the inattentive state, the alarm output unit 35 does not output the alarm signal again until the state in which the angle of the driver's face is less than the 21st threshold value continues to be the 54th threshold value or more. The 54th threshold is, for example, 5 seconds.

When the alarm signal is output by the determination of the mobile terminal usage state, the alarm output unit 35 does not output the alarm signal again until the state in which the mobile terminal is not in use continues for the 55th threshold value or more. The 55th threshold is, for example, 10 seconds.

When the alarm signal is output by the determination of the smoking state, the alarm output unit 35 does not output the alarm signal again until the alarm continues for the 56th threshold value or more after the alarm is generated. The 56th threshold is, for example, 15 minutes.

When the alarm signal is output by the determination of the monotonous operation state, the alarm output unit 35 does not output the alarm signal again until the 57th threshold value or more continues after the alarm is generated. The 57th threshold is, for example, 15 minutes.

<Processing>
Hereinafter, an example of the processing executed by the detection system 1 will be described with reference to the flow chart of FIG.

The detection system 1 starts this process upon activation. In this process, the detection system 1 first determines whether or not the calibration has been completed (step S110). Calibration is a process for registering a reference face, and is performed when the detection system 1 is newly mounted on a vehicle, when the mounting position of the detection system 1 (that is, the angle of view of the photographing unit 2) is changed, and the like. To.

If the calibration has not been completed (S110: NO), the detection system 1 executes the driver determination process (step S130) after executing the calibration process (step S120). On the other hand, when the calibration is completed (S110: YES), the detection system 1 executes the driver determination process S130 without executing the calibration process S120.

After executing the driver determination process S130, the detection system 1 executes an alarm determination process (step S140). The detection system 1 ends the entire process with the end of the alarm determination process S140.

(Calibration process)
In the calibration process shown in FIG. 7, the detection system 1 first captures an image of the inside of the vehicle (step S210).

After capturing the image, the detection system 1 detects the driver's face from the captured image (step S220). Subsequently, the detection system 1 determines whether or not the face detection is successful (step S230).

If the face detection is successful (S230: YES), the detection system 1 ends the calibration process. On the other hand, when the face detection fails (S230: NO), the detection system 1 repeats from the acquisition of the image. The detection system 1 may issue an announcement when the face detection fails.

(Driver judgment process)
In the driver determination process shown in FIG. 8, the detection system 1 first detects a face from the captured image of the photographing unit 2 (step S310).

Next, the detection system 1 determines whether or not the number of failures described later is equal to or greater than a predetermined threshold value (step S320). When the number of failures is equal to or greater than the threshold value (S320: YES), the detection system 1 executes the calibration process S120 described above, resets the number of failures to zero, and returns to face detection.

When the number of failures is less than the threshold value (S320: NO), the detection system 1 determines whether or not the ratio of the face size of the detected determination target person to the reference face size is equal to or greater than the threshold value (step S330). ).

When the face size ratio is equal to or greater than the threshold value (S330: YES), the detection system 1 determines whether or not the distance between the center coordinates of the face of the determination target person and the center coordinates of the reference face is within the width of the reference face. Determination (step S340).

When the distance is within the width of the reference face (S340: YES), the detection system 1 determines that the determination target person who has detected the face is the driver (step S350), and ends the driver determination process.

On the other hand, when the face size ratio is less than the threshold value (S330: NO), or when the distance exceeds the reference face width (S340: NO), the detection system 1 counts the number of failures (step S360). , Repeat from face detection.

The detection system 1 may issue an announcement when the driver is determined and / or when the driver cannot be determined.

(Alarm judgment processing)
In the alarm determination process shown in FIG. 9, the detection system 1 first detects a face from the captured image of the photographing unit 2 (step S410).

Next, the detection system 1 determines whether or not the driver's face detection success continues for a certain first period (for example, 5 seconds) (step S420). If the duration of successful detection is less than the first period (S420: NO), the detection system 1 determines whether the driver's face detection failure continued in the second period (for example, 3 minutes) longer than the first period. (Step S450).

If the duration of the detection failure is less than the second period (S450: NO), the detection system 1 returns to face detection. On the other hand, when the duration of the detection failure is the second period or more (S450: YES), the detection system 1 executes the driver determination process S130 described above, and then returns to the face detection. At this time, the detection system 1 may issue an abnormal announcement of face detection.

When the duration of successful detection is the first period or more (S420: YES), the detection system 1 determines whether or not the detection accuracy (for example, the face score) is equal to or greater than the threshold value (step S430). When the detection accuracy is equal to or higher than the threshold value (S430: YES), the detection system 1 executes the state determination process (step S440). On the other hand, when the detection accuracy is less than the threshold value (S430: NO), the detection system 1 returns to the face detection.

After executing the state determination process S440, the detection system 1 determines whether or not there is an end signal (step S450). If there is no end signal (S450: NO), the detection system 1 repeats from the face detection.

On the other hand, when there is an end signal (S450: YES), the detection system 1 ends the alarm determination process. The end signal is a signal generated based on the power off of the detection system 1, the end operation of the alarm determination function, and the like.

(Status judgment process)
The state determination process includes an event for determining the closed eye state (FIG. 10), an event for determining the tired state (FIG. 11), an event for determining the inattentive state (FIG. 12), and an event for determining the mobile terminal usage state (FIG. 12). FIG. 13) and an event for determining a smoking state (FIG. 14) are included. These events occur in parallel.

In the determination event of the closed eye state shown in FIG. 10, the detection system 1 first determines whether or not the release condition is satisfied (step S510). If the cancellation condition is not satisfied (S510: NO), the detection system 1 ends this event.

On the other hand, when the cancellation condition is satisfied (S510: YES), the detection system 1 determines whether or not the cancellation flag described later is turned on (step S520). When the cancel flag is on (S520: YES), the detection system 1 determines whether or not the detected face satisfies the smile condition (step S570).

If the smile condition is not satisfied when the cancel flag is on (S570: NO), the detection system 1 turns off the cancel flag (step S580) and ends the event. If the smile condition is satisfied when the cancel flag is on (S570: YES), the detection system 1 ends this event with the cancel flag turned on. The cancel flag is set for each event.

On the other hand, when the cancel flag is off (S520: NO), the detection system 1 determines whether or not the detected face satisfies the eye closing condition (step S530). When the eye closing condition is not satisfied (S530: NO), the detection system 1 ends this event.

On the other hand, when the eye closing condition is satisfied (S530: YES), the detection system 1 determines whether or not the detected face satisfies the smile condition (step S540). When the smile condition is satisfied (S540: YES), the detection system 1 turns on the cancel flag (step S560) and ends the event.

On the other hand, when the smile condition is not satisfied (S540: NO), the detection system 1 outputs an alarm signal (step S550). After outputting the alarm signal, the detection system 1 ends this event.

The fatigue state determination event shown in FIG. 11 is shown in FIG. 11 except that it is determined whether or not the detected face satisfies the fatigue condition instead of the eye closing condition (S530) in the event of FIG. It has the same content as the 10 events.

The inattentive state determination event shown in FIG. 12 is a point in which it is determined whether or not the detected face satisfies the inattentive condition (step S532) instead of the eye closing condition (S530) in the event of FIG. The contents are the same as those of the event of FIG. 10 except that the determination (S540) and the processing of the cancel flag (S520 and S560) are not executed.

In the mobile terminal usage state determination event shown in FIG. 13, it is determined whether or not the face and hands of the captured image satisfy the mobile terminal usage condition instead of the inattentive condition (S532) in the event of FIG. 12 (step S533). The contents are the same as those of the event in FIG. 12, except for the point.

The smoking state determination event shown in FIG. 14 is different from the inattentive condition (S532) in the event of FIG. 12, except that it is determined whether or not the face and hands of the photographed image satisfy the smoking condition (step S534). The content is the same as that of the event shown in FIG.

[1-2. effect]
According to the embodiment described in detail above, the following effects can be obtained.
(1a) The driver determination unit 33 can determine the position of the face of the person to be determined in the front-back direction (that is, the depth direction) and the left-right direction by the ratio of the size to the reference face initially stored and the deviation of the center coordinates. That is, when the detected face position is within the assumed range, the determination target person can be determined to be the driver. Therefore, the driver can be monitored while the driver is correctly recognized.

(1b) The alarm determination unit 34 can appropriately notify the driver of the alarm in a state where the driver is correctly recognized.

(1c) In addition to the first process of determining the dangerous state based on the state of the driver's eyes, the second process of determining the non-dangerous state when the amount of deformation of the mouth is large is performed by the driver. You can cancel the alarm if you are smiling. Further, by canceling the first process for a certain period of time when it is determined to be a non-dangerous state, it is possible to suppress the issuance of an alarm for the smiling state. Therefore, the accuracy of the alarm for a dangerous state is improved.

(1d) By determining the closed eye state, it is possible to accurately notify the driver of the state in which the driver is dozing.
(1e) By determining the fatigue state, it is possible to accurately notify the driver of the fatigued state.

(1f) By determining the inattentive state, it is possible to accurately notify the alarm to the state in which the driver is driving while looking aside.
(1g) By determining the usage state of the mobile terminal, an alarm can be notified to the state in which the driver is driving while using the mobile terminal.

(1h) By determining the smoking state, an alarm can be notified to the state in which the driver is driving while smoking.
(1i) Since a new alarm signal is not output until a certain period of time has elapsed after the alarm signal is output, it is possible to prevent the alarm from being repeatedly notified for the dangerous state in which the alarm was once notified.

[2. Other embodiments]
Although the embodiments of the present disclosure have been described above, it is needless to say that the present disclosure is not limited to the above-described embodiments and can take various forms.

(2a) In the detection system of the above embodiment, the alarm determination unit does not necessarily have to execute the second process of canceling the process of determining the dangerous state.

(2b) The functions of one component in the above embodiment may be dispersed as a plurality of components, or the functions of the plurality of components may be integrated into one component. Further, a part of the configuration of the above embodiment may be omitted. Further, at least a part of the configuration of the above embodiment may be added or substituted with respect to the other configurations of the above embodiment. It should be noted that all aspects included in the technical idea specified from the wording described in the claims are embodiments of the present disclosure.

1 ... Detection system, 2 ... Shooting unit, 3 ... Processing unit, 4 ... Housing, 10 ... Vehicle information acquisition device,
20 ... alarm device, 30 ... external storage device, 31 ... detection unit, 32 ... storage unit,
33 ... Driver determination unit, 34 ... Alarm determination unit, 35 ... Alarm output unit.

Claims (10)

A shooting unit configured to shoot the inside of the vehicle,
A detection unit configured to detect a person's face from a captured image captured by the photographing unit, and a detection unit.
A storage unit configured to store the face of a person in a driving state detected by the detection unit as a reference face including the detected facial parts, and a storage unit.
The ratio of the size of the face of the determination target person detected by the detection unit after the storage of the reference face to the size of the reference face is equal to or greater than the threshold value, and the center coordinates of the face of the determination target person and the reference. A driver determination unit configured to determine the person to be determined as a driver corresponding to the reference face when the distance from the center coordinates of the face is within the width of the reference face.
An alarm determination unit configured to determine the need for an alarm to the driver based on the captured image, and an alarm determination unit.
An alarm output unit configured to output an alarm signal when the driver determination unit determines that the determination target person is the driver and the alarm determination unit determines that the alarm is necessary.
Equipped with
The alarm determination unit is a detection system that determines a dangerous state in which the alarm is required based on an angle formed by the direction of the reference face and the direction of the driver's face in the captured image. The detection system according to claim 1.
The alarm determination unit
The first process of determining the dangerous state based on at least the state of the driver's eyes in the captured image,
When the amount of deformation of the driver's mouth in the captured image is equal to or greater than the threshold value, it is determined that the alarm is unnecessary and the non-dangerous state is determined, and when it is determined that the driver is in the non-dangerous state, the first process is performed. The second process of canceling for a certain period of time and
A detection system that runs. The detection system according to claim 2.
In the first process, the alarm determination unit keeps the state where the maximum vertical width of the driver's eye in the captured image is equal to or less than the threshold value for a certain period of time, and the angle in the captured image is equal to or less than the threshold value. A detection system that determines that the vehicle is in a dangerous state when the speed of the vehicle is equal to or higher than a threshold value. The detection system according to claim 2 or 3.
In the first process, the alarm determination unit is surrounded by the driver's lips in the captured image after the state in which the maximum vertical width of the driver's eyes in the captured image is equal to or less than the threshold value continues for a certain period of time. When the area is equal to or greater than the threshold value, the angle in the captured image is equal to or less than the threshold value, the speed of the vehicle is equal to or greater than the threshold value, and a certain time has elapsed from the activation of the alarm determination unit. A detection system that determines that it is in a dangerous state. The detection system according to any one of claims 1 to 4.
In the alarm determination unit, the state in which the angle in the captured image is equal to or higher than the threshold value continues for a certain period of time, the speed of the vehicle is equal to or higher than the threshold value, the lateral acceleration is equal to or lower than the threshold value, and the brake of the vehicle is used. , A detection system that determines that the dangerous condition is present when neither the winker nor the reverse gear is functioning. The detection system according to any one of claims 1 to 5.
The alarm determination unit is a detection system that determines the dangerous state based on the positions of the driver's face and hands in the captured image. The detection system according to claim 6.
The alarm determination unit is a detection system that determines that the driver is in a dangerous state when it is determined in the captured image that the driver is using the mobile terminal. The detection system according to claim 6 or 7.
The alarm determination unit is a detection system that determines that the driver is in a dangerous state when it is determined that the driver is smoking in the captured image. The detection system according to any one of claims 1 to 8.
The alarm output unit is a detection system that does not output a new alarm signal until a certain period of time has elapsed after outputting the alarm signal. The detection system according to any one of claims 1 to 9.
The alarm determination unit is a detection system that determines the dangerous state based on the angle and the maximum vertical width of the driver's eyes.

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